Chemometric Identification Of Chemical Agents Via Electrochemical Methods Coupled With Classification Algorithms
University researchers have developed a novel method and system that identify chemical agents using a combination of electrochemical detection and advanced signal processing algorithms. The invention distinguishes itself from other chemometric technologies in that it combines electrochemical methods (e.g., voltammetry, amperometry, potentiometry, coulometry, conductometry, and impedometry) with pattern-recognition algorithms (e.g. Principal Component Analysis, Linear Discriminant Analysis, Support Vector Machines) to transduce the chemical information to the electrical domain. It has been reduced to practice for the classification of residues originating from the handling and discharge of a firearm and to implicate culpability under such scenarios. A handheld unit integrating the electrochemical analyzer and embedded signal processing algorithms is currently under development. The approach, demonstrated for firearm forensics, can be extended to diverse other applications requiring differentiation among groups possessing variable chemical signatures (e.g., healthcare, environmental, agricultural, cosmetics).
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Related cases 2013-324 Solid-State Finger Sensor for Integrated Sampling and Detection Related Materials Swipe and Scan: Integration of sampling and analysis of gunshot metal residues at screen-printed electrodes, Electrochemistry Communications, Volume 23, September 2012, Pages 52–55 Tech ID/UC Case 23543/2013-060-0 Related Cases 2013-060-0
Rapid Field Identification of Subjects Involved in Firearm-Related Crimes Based on Electroanalysis Coupled with Advanced Chemometric Data Treatment, Anal. Chem., 2012, 84 (23), pp 10306–10314
Electrochemical Detection of Gunshot Residue for Forensic Analysis: A Review. Electroanalysis, Volume 25, Issue 6, pages 1341–1358, June 2013
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